The 5 random rows of the dataframe
| Country | Date | Vaccinations | Vaccinated | Fully_Vaccinated | Vaccinations_Ratio | Vaccinated_Ratio | Fully_Vaccinated_Ratio |
|---|---|---|---|---|---|---|---|
| Canada | 2021-07-22 | 47056217.0 | 26783674.0 | 20268756.0 | 123.61 | 70.36 | 53.24 |
| Italy | 2021-05-31 | 35434142.0 | 23815455.0 | 12280305.0 | 58.70 | 39.45 | 20.34 |
| Palestine | 2022-02-15 | NaN | NaN | NaN | NaN | NaN | NaN |
| Bangladesh | 2021-12-29 | NaN | NaN | NaN | NaN | NaN | NaN |
| Montenegro | 2022-03-28 | 668025.0 | 289643.0 | 281511.0 | 106.36 | 46.12 | 44.82 |
Table of variables
| № | Variable | Description | Datatype | NAs |
|---|---|---|---|---|
| 1 | Country | The country for which the vaccination rate is provided | object | 0 |
| 2 | Date | Date for the data entry | object | 0 |
| 3 | Vaccinations | The absolute number of immunizations in the country | float64 | 50241 |
| 4 | Vaccinated | Total number of people vaccinated. A person, depending on the immunization scheme, will receive one or more (typically 2) vaccines; at a certain moment, the number of vaccination might be larger than the number of people | float64 | 52683 |
| 5 | Fully_Vaccinated | The number of people that received the entire set of immunization according to the immunization scheme (typically 2) | float64 | 55236 |
| 6 | Vaccinations_Ratio | The ratio between vaccination number and total population up to the date in the country | float64 | 50241 |
| 7 | Vaccinated_Ratio | The ratio between population immunized and total population up to the date in the country | float64 | 52683 |
| 8 | Fully_Vaccinated_Ratio | The ratio between population fully immunized and total population up to the date in the country | float64 | 55236 |
Statistical description of numeric data
| Vaccinations | Vaccinated | Fully_Vaccinated | Vaccinations_Ratio | Vaccinated_Ratio | Fully_Vaccinated_Ratio | Fully_Vaccinated_Ratio | |
|---|---|---|---|---|---|---|---|
| mean | 2.127387e+08 | 1.038874e+08 | 8.574138e+07 | 86.25 | 42.69 | 37.19 | 37.19 |
| min | 0.000000e+00 | 0.000000e+00 | 1.000000e+00 | 0.00 | 0.00 | 0.00 | 0.00 |
| max | 1.177483e+10 | 5.176686e+09 | 4.713085e+09 | 355.75 | 124.88 | 122.94 | 122.94 |
| 25% | 8.281678e+05 | 4.884155e+05 | 3.877810e+05 | 17.83 | 12.25 | 7.49 | 7.49 |
| 50% | 6.360699e+06 | 3.770917e+06 | 2.952149e+06 | 75.80 | 45.47 | 35.78 | 35.78 |
| 75% | 3.963268e+07 | 2.219722e+07 | 1.822346e+07 | 142.02 | 69.76 | 63.88 | 63.88 |
Values of $R_0$ and herd immunity thresholds (HITs) of well-known infectious diseases prior to intervention
| Disease | Transmission | \(R_0\) | HIT |
|---|---|---|---|
| Measles | Aerosol | 12–18 | 92–94% |
| Chickenpox (varicella) | Aerosol | 10–12 | 90–92% |
| Mumps | Respiratory droplets | 10–12 | 90–92% |
| COVID-19 (ancestral strain) | Respiratory droplets and aerosol | 2.9 (2.4–3.4) | 65% (58–71%) |
| COVID-19 (Alpha variant) | Respiratory droplets and aerosol | 4–5 | 75–80% |
| COVID-19 (Delta variant) | Respiratory droplets and aerosol | 5.1 | 80% |
| COVID-19 (Omicron variant) | Respiratory droplets and aerosol | 9.5 | 89% |
| Rubella | Respiratory droplets | 6–7 | 83–86% |
| Polio | Fecal–oral route | 5–7 | 80–86% |
| Pertussis | Respiratory droplets | 5.5 | 82% |
| Smallpox | Respiratory droplets | 3.5–6.0 | 71–83% |
| HIV/AIDS | Body fluids | 2–5 | 50–80% |
| SARS | Respiratory droplets | 2–4 | 50–75% |
| Diphtheria | Saliva | 2.6 (1.7–4.3) | 62% (41–77%) |
| Common cold | Respiratory droplets | 2–3 | 50–67% |
| Monkeypox | Physical contact, body fluids, respiratory droplets | 2.1 (1.5–2.7) | 53% (31–63%) |
| Influenza (1918 pandemic strain) | Respiratory droplets | 2 | 50% |
| Ebola (2014 outbreak) | Body fluids | 1.8 (1.4–1.8) | 44% (31–44%) |
| Influenza (2009 pandemic strain) | Respiratory droplets | 1.6 (1.3–2.0) | 37% (25–51%) |
| Influenza (seasonal strains) | Respiratory droplets | 1.3 (1.2–1.4) | 23% (17–29%) |
| Andes hantavirus | Respiratory droplets and body fluids | 1.2 (0.8–1.6) | 16% (0–36%) |
| Nipah virus | Body fluids | 0.5 | 0% |
| MERS | Respiratory droplets | 0.5 (0.3–0.8) | 0% |
Predicted dates of the end of vaccinations
| Country | \(R_2\) | Prediction | Country | \(R_2\) | Prediction | |
|---|---|---|---|---|---|---|
| Argentina | 0.998 | 01 Jan 2022 | Isle of Man | 0.986 | 03 Oct 2021 | |
| Australia | 0.999 | 12 Dec 2021 | Italy | 0.997 | 23 Nov 2021 | |
| Bangladesh | 0.994 | 23 May 2022 | Japan | 0.998 | 08 Nov 2021 | |
| Belgium | 0.998 | 12 Oct 2021 | Kuwait | 0.997 | 30 Jan 2022 | |
| Brazil | 0.998 | 31 Mar 2022 | Luxembourg | 0.991 | 25 Sep 2022 | |
| Brunei | 0.997 | 21 Nov 2021 | Macao | 0.986 | 01 Feb 2022 | |
| Cambodia | 0.998 | 03 Nov 2021 | Malaysia | 0.999 | 03 Nov 2021 | |
| Canada | 0.993 | 19 Sep 2021 | Malta | 0.994 | 03 Aug 2021 | |
| Chile | 0.983 | 07 Sep 2021 | Nepal | 0.986 | 21 Jul 2022 | |
| Congo | 0.984 | 12 Apr 2023 | New Zealand | 0.997 | 31 Dec 2021 | |
| Costa Rica | 0.993 | 17 Feb 2022 | Peru | 0.998 | 23 Feb 2022 | |
| Cuba | 0.993 | 22 Nov 2021 | Portugal | 0.999 | 06 Sep 2021 | |
| Denmark | 0.996 | 01 Oct 2021 | Samoa | 0.962 | 24 May 2022 | |
| Faeroe Islands | 0.996 | 23 Sep 2021 | Singapore | 0.993 | 13 Sep 2021 | |
| Finland | 0.999 | 25 Dec 2021 | South Korea | 0.998 | 11 Nov 2021 | |
| France | 0.997 | 24 Dec 2021 | Spain | 0.998 | 15 Sep 2021 | |
| Guernsey | 0.994 | 25 Dec 2021 | Taiwan | 0.999 | 08 Feb 2022 | |
| Iceland | 0.995 | 06 Sep 2021 | United Arab Emirates | 0.995 | 19 Aug 2021 | |
| Ireland | 0.999 | 01 Oct 2021 | Vietnam | 1.000 | 21 Jan 2022 |